Franck Ruffier

2.5k total citations
65 papers, 1.5k citations indexed

About

Franck Ruffier is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Franck Ruffier has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Aerospace Engineering, 33 papers in Computer Vision and Pattern Recognition and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Franck Ruffier's work include Advanced Vision and Imaging (21 papers), Robotics and Sensor-Based Localization (20 papers) and Neurobiology and Insect Physiology Research (14 papers). Franck Ruffier is often cited by papers focused on Advanced Vision and Imaging (21 papers), Robotics and Sensor-Based Localization (20 papers) and Neurobiology and Insect Physiology Research (14 papers). Franck Ruffier collaborates with scholars based in France, Montenegro and Germany. Franck Ruffier's co-authors include Nicolas Franceschini, Julien Serres, Stéphane Viollet, Fabien Expert, Geoffrey Portelli, M. Menouni, Raphaël Juston, Wolfgang Buß, Hanspeter A. Mallot and Robert Leitel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Franck Ruffier

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Franck Ruffier France 20 661 534 392 275 235 65 1.5k
Stéphane Viollet France 19 424 0.6× 263 0.5× 268 0.7× 332 1.2× 382 1.6× 65 1.2k
Ralf Möller Germany 22 557 0.8× 638 1.2× 400 1.0× 101 0.4× 211 0.9× 89 1.7k
Julien Serres France 15 352 0.5× 203 0.4× 264 0.7× 129 0.5× 188 0.8× 44 943
Matthias Franz Germany 19 355 0.5× 767 1.4× 186 0.5× 84 0.3× 147 0.6× 96 2.0k
J. Sean Humbert United States 22 1.1k 1.6× 356 0.7× 167 0.4× 68 0.2× 180 0.8× 101 1.5k
Nicolas Franceschini France 29 744 1.1× 655 1.2× 1.8k 4.5× 479 1.7× 333 1.4× 73 3.3k
Sawyer B. Fuller United States 21 1.3k 2.0× 185 0.3× 296 0.8× 654 2.4× 1.2k 4.9× 47 2.8k
Dimitrios Lambrinos Switzerland 8 243 0.4× 206 0.4× 276 0.7× 86 0.3× 128 0.5× 19 701
Holger G. Krapp United Kingdom 30 321 0.5× 242 0.5× 1.8k 4.5× 222 0.8× 172 0.7× 64 2.8k
Wolfgang Stürzl Germany 18 241 0.4× 242 0.5× 419 1.1× 47 0.2× 57 0.2× 45 1.1k

Countries citing papers authored by Franck Ruffier

Since Specialization
Citations

This map shows the geographic impact of Franck Ruffier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Franck Ruffier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Ruffier more than expected).

Fields of papers citing papers by Franck Ruffier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franck Ruffier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Franck Ruffier. The network helps show where Franck Ruffier may publish in the future.

Co-authorship network of co-authors of Franck Ruffier

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Ruffier. A scholar is included among the top collaborators of Franck Ruffier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Franck Ruffier. Franck Ruffier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wystrach, Antoine, et al.. (2025). Route-centric ant-inspired memories enable panoramic route-following in a car-like robot. Nature Communications. 16(1). 8328–8328. 1 indexed citations
2.
Ruffier, Franck, et al.. (2024). Modeling collective behaviors from optic flow and retinal cues. Physical Review Research. 6(2). 8 indexed citations
3.
Nègre, Amaury, et al.. (2023). Synchronization of a New Light-Flashing Shield With an External-Triggered Camera. IEEE Sensors Letters. 7(8). 1–4. 1 indexed citations
4.
Serres, Julien, et al.. (2023). Visual augmentation of deck-landing-ability improves helicopter ship landing decisions. Scientific Reports. 13(1). 5119–5119.
5.
Serres, Julien, et al.. (2022). Floor and ceiling mirror configurations to study altitude control in honeybees. Biology Letters. 18(3). 20210534–20210534. 3 indexed citations
6.
Croon, Guido de, et al.. (2022). Accommodating unobservability to control flight attitude with optic flow. Nature. 610(7932). 485–490. 23 indexed citations
7.
Ruffier, Franck, et al.. (2022). Corridor 3D Navigation of a Fully-Actuated Multirotor by Means of Bee-Inspired Optic Flow Regulation. HAL (Le Centre pour la Communication Scientifique Directe). 318–324. 4 indexed citations
8.
Morice, Antoine H.P., et al.. (2021). Ecological design of augmentation improves helicopter ship landing maneuvers: An approach in augmented virtuality. PLoS ONE. 16(8). e0255779–e0255779. 5 indexed citations
9.
Serres, Julien, Susanne Åkesson, Olivier Duriez, et al.. (2019). Optic flow cues help explain altitude control over sea in freely flying gulls. Journal of The Royal Society Interface. 16(159). 20190486–20190486. 15 indexed citations
10.
Ruffier, Franck, et al.. (2019). Meaningful representations emerge from Sparse Deep Predictive Coding. arXiv (Cornell University). 1 indexed citations
11.
Viollet, Stéphane, et al.. (2019). A bio-inspired sighted robot chases like a hoverfly. Bioinspiration & Biomimetics. 14(3). 36002–36002. 9 indexed citations
12.
Najjar, Maan El Badaoui El, et al.. (2018). Informational Framework for Minimalistic Visual Odometry on Outdoor Robot. IEEE Transactions on Instrumentation and Measurement. 68(8). 2988–2995. 17 indexed citations
13.
Expert, Fabien & Franck Ruffier. (2015). Flying over uneven moving terrain based on optic-flow cues without any need for reference frames or accelerometers. Bioinspiration & Biomimetics. 10(2). 26003–26003. 42 indexed citations
14.
Serres, Julien, et al.. (2014). A biomimetic vision-based hovercraft accounts for bees’ complex behaviour in various corridors. Bioinspiration & Biomimetics. 9(3). 36003–36003. 23 indexed citations
15.
Viollet, Stéphane, et al.. (2011). Performances of Three Miniature Bio-inspired Optic Flow Sensors under Natural Conditions. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Portelli, Geoffrey, et al.. (2011). Honeybees' Speed Depends on Dorsal as Well as Lateral, Ventral and Frontal Optic Flows. PLoS ONE. 6(5). e19486–e19486. 46 indexed citations
17.
Portelli, Geoffrey, Franck Ruffier, & Nicolas Franceschini. (2010). Honeybees change their height to restore their optic flow. Journal of Comparative Physiology A. 196(4). 307–313. 47 indexed citations
18.
Portelli, Geoffrey, Julien Serres, Franck Ruffier, & Nicolas Franceschini. (2009). Modelling honeybee visual guidance in a 3-D environment. Journal of Physiology-Paris. 104(1-2). 27–39. 20 indexed citations
19.
Serres, Julien, et al.. (2008). A bee in the corridor: centering and wall-following. Die Naturwissenschaften. 95(12). 1181–1187. 44 indexed citations
20.
Franceschini, Nicolas, Franck Ruffier, & Julien Serres. (2007). A Bio-Inspired Flying Robot Sheds Light on Insect Piloting Abilities. Current Biology. 17(4). 329–335. 112 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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